Poster Abstract: EdgeEye: Fine Grained Traffic Visibility at Wireless Network Edge
Mostafa Uddin, Ibrahim Ben Mustafa, Tamer Nadeem · 2016
The growth of smart devices with their diverse applications and services making the network activities at the edge unique. Specially in the context of bringing the resources within one wireless hop distance away from the end users to provide latency sensitive, privacy aware, and high bandwidth applications, rising new challenges of network management and control capabilities at the wireless network edges (i.e. mobile devices, APs). In order to have the control capability at the edge, it is essential to have greater visibility over the network traffic, especially about the knowledge of network flow-types and applications. Unfortunately, existing network application and flow-type awareness solution, specially designed for network core, are centralized, heavyweight, and impose significant overhead over the traffic at the wireless network edges. In this project, we present EdgeEye - a light weight, flexible and real-time application and flow types awareness framework for wireless network edges. EdgeEye is the first of its kind that provides on-fly fine-grained visibility and control over the network traffic generated by different mobile applications and corresponding various flow-types running on wireless network edges.